Researchers from Turku Bioscience Centre at the University of Turku, Finland, have developed a new computational method to interpret complex single-cell data. The method helps researchers identify and ...
Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics. The ...
Abstract: Excessive computational cost is one of the main reasons limiting the application of regression analysis in engineering data mining. In this article, an undersampling method is proposed to ...
The team developed a computational framework using robotic path planning algorithms to rapidly identify optimal composition gradients between dissimilar materials. The framework enables the creation ...
A team of Chinese researchers led by Prof. GAO Caixia from the Institute of Genetics and Developmental Biology (IGDB) of the Chinese Academy of Sciences has developed a groundbreaking method that ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
Open Molecules 2025, an unprecedented dataset of molecular simulations, has been released to the scientific community, paving the way for the development of machine learning tools that can accurately ...
Abstract: This paper reviews recent system-level analysis methods for electromagnetic pulse coupling with local and network systems. For local systems, starting from the electromagnetic topology (EMT) ...
A team of physicists at Tampere University has developed a groundbreaking method for detecting congestive heart failure with greater ease and precision than previously thought possible. This ...
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